Smees Camiel J, Olde Heuvel Judith, van der Heide Stein, van Uum Esmee D, Vochteloo Anne J H, Tuijthof Gabriëlle J M
Centre for Orthopaedic Surgery OCON, Hengelo, The Netherlands.
Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Int J Comput Assist Radiol Surg. 2025 Jun 17. doi: 10.1007/s11548-025-03454-6.
When performing 3D planning for osteotomies in patients with distal radius malunion, the contralateral radius is commonly used as a template for reconstruction. However, in approximately 10% of the cases, the contralateral radius is not suitable for use. A shape completion model may provide an alternative by generating a healthy radius model based on the proximal part of the malunited bone. The aim of this study is to develop and clinically evaluate such a shape completion model.
A total of 100 segmented CT scans of healthy radii were used, with 80 scans used to train a statistical shape model (SSM). This SSM formed the base for a shape completion model capable of predicting the distal 12% based on the proximal 88%. Hyperparameters were optimized using 10 segmented 3D models, and the remaining 10 models were reserved for testing the performance of the shape completion model.
The shape completion model consistently produced clinically viable 3D reconstructions. The mean absolute errors between the predicted and corresponding reference models in the rotational errors were 2.6 ± 1.7° for radial inclination, 3.6 ± 2.2° for volar tilt, and 2.6 ± 2.8° for axial rotation. Translational errors were 0.7 ± 0.6 mm in dorsal shift, 0.8 ± 0.5 mm in radial shift, and 1.7 ± 1.1 mm in lengthening.
This study successfully developed a shape completion model capable of reconstructing healthy 3D radius models based on the proximal bone. The observed errors indicate that the model is viable for use in 3D planning for patients lacking a healthy contralateral radius. However, routine use in patients with a healthy contralateral radius is not yet advised, as error margins exceed bilateral differences observed in healthy populations. The most clinically relevant error found in the model, length mismatch, can be easily corrected during 3D planning if the ipsilateral ulna remains intact.
在为桡骨远端畸形愈合患者进行截骨术的三维规划时,通常将对侧桡骨用作重建模板。然而,在大约10%的病例中,对侧桡骨不适合使用。形状完成模型可以通过基于畸形愈合骨的近端生成健康的桡骨模型提供一种替代方案。本研究的目的是开发并临床评估这样一种形状完成模型。
总共使用了100例健康桡骨的分割CT扫描,其中80例扫描用于训练统计形状模型(SSM)。该SSM构成了一个形状完成模型的基础,该模型能够基于近端88%预测远端12%。使用10个分割的三维模型优化超参数,其余10个模型留作测试形状完成模型的性能。
形状完成模型始终能生成临床上可行的三维重建。预测模型与相应参考模型之间的旋转误差的平均绝对误差为:桡侧倾斜2.6±1.7°,掌侧倾斜3.6±2.2°,轴向旋转2.6±2.8°。平移误差为:背侧移位0.7±0.6mm,桡侧移位0.8±0.5mm,延长1.7±1.1mm。
本研究成功开发了一种能够基于近端骨重建健康三维桡骨模型的形状完成模型。观察到的误差表明该模型对于缺乏健康对侧桡骨的患者进行三维规划是可行的。然而,由于误差幅度超过了健康人群中观察到的双侧差异,尚不建议在有健康对侧桡骨的患者中常规使用。如果同侧尺骨保持完整,在三维规划过程中可以很容易地纠正模型中发现的最具临床相关性的误差,即长度不匹配。